Learning data selection unit, discriminative speech recognition accuracy estimation device, learning data selection method, discriminative speech recognition accuracy estimation method, program

摘要

PROBLEM TO BE SOLVED: To provide a learning data selection device capable of acquiring learning data for efficiently learning an identification model in an identifiable speech recognition precision estimation device applicable to an N-best recognition result.;SOLUTION: The learning data selection device includes: an N-best recognition result storage part which stores N-best recognition result word strings; a learning data storage part which stores a first-place recognition result word string; an i-place recognition result extraction part which extracts an i-place recognition result word string from the N-best recognition result storage part; a k-place recognition result extraction part which extracts a k-place recognition result word string which is most similar to the i-place recognition result word string from each recognition result word string in the learning data storage part; a different word rate calculation part which calculates a different word rate R from the number of words different between each other in the i-place recognition result word string and k-place recognition result word string; and a comparison part which causes the learning data storage part to store the i-place recognition result word string when the different word rate R is over a predetermined threshold T.;COPYRIGHT: (C)2014,JPO&INPIT